gqt
561 lines
61 KiB
Plaintext
561 lines
61 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"id": "initial_id",
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"metadata": {
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"collapsed": true,
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"ExecuteTime": {
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"end_time": "2026-08-01T06:25:04.231749Z",
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"start_time": "2026-08-01T06:25:04.212936Z"
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}
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},
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"source": [
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"\"\"\"\n",
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"使用 builder.add_conditional_edges(\"llm_node\", router) 做静态分支路由来实现ReAct模型\n",
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"\"\"\"\n",
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"\n",
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"import os\n",
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"\n",
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"from dotenv import load_dotenv\n",
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"from langchain.chat_models import init_chat_model\n",
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"from langchain.tools import tool\n",
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"\n",
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"load_dotenv(override=True)\n",
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"\n",
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"llm = init_chat_model(\n",
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" model=\"openai:qwen3.6-flash\",\n",
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" base_url=os.getenv(\"BASE_URL\"),\n",
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" api_key=os.getenv(\"API_KEY\")\n",
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")\n",
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"\n",
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"\n",
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"@tool(description=\"查询天气的工具,如果出现网络波动调用失败请重试（概率性问题）\")\n",
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"def get_weather(city):\n",
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" return \"It's sunny in %s\" % city\n",
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"\n",
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"\n",
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"llm_with_tool = llm.bind_tools(tools=[get_weather])"
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],
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"outputs": [],
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"execution_count": 67
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2026-08-01T06:25:04.242598Z",
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"start_time": "2026-08-01T06:25:04.233604Z"
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}
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},
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"cell_type": "code",
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"source": [
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"from rich import print as rp\n",
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"\n",
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"# res = llm_with_tool.invoke(\"今天北京天气怎么样？\")\n",
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"# rp(res)"
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],
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"id": "94bff18fdf2f54e1",
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"outputs": [],
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"execution_count": 68
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2026-08-01T06:25:04.248423Z",
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"start_time": "2026-08-01T06:25:04.243048Z"
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}
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},
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"cell_type": "code",
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"source": [
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"from random import randint\n",
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"from langgraph.graph import MessagesState\n",
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"from langchain_core.messages import HumanMessage, ToolMessage\n",
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"\n",
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"\n",
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"class OverallState(MessagesState):\n",
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" user_input: str\n",
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" final_output: str\n",
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"\n",
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"\n",
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"def input_node(state: OverallState) -> OverallState:\n",
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" return {\n",
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" \"messages\": [HumanMessage(state[\"user_input\"])]\n",
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" }\n",
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"\n",
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"\n",
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"def llm_node(state: OverallState) -> OverallState:\n",
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" ai_msg = llm_with_tool.invoke(state[\"messages\"])\n",
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" return {\n",
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" \"messages\": [ai_msg]\n",
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" }\n",
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"\n",
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"\n",
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"def tool_node(state: OverallState) -> OverallState:\n",
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" messages = state[\"messages\"]\n",
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" ai_msg = messages[-1]\n",
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" tool_calls = ai_msg.tool_calls\n",
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" for tool_call in tool_calls:\n",
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" # tool_calls=[\n",
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" # {\n",
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" # 'name': 'get_weather',\n",
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" # 'args': {'city': '北京'},\n",
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" # 'id': 'call_dd68b38a18d146d3bccc27ac',\n",
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" # 'type': 'tool_call'\n",
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" # }\n",
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" # ],\n",
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" if tool_call[\"name\"] == \"get_weather\":\n",
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" if randint(0, 9) < 6:\n",
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" messages.append(ToolMessage(\n",
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" content=\"网络波动请重试\",\n",
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" tool_call_id=tool_call[\"id\"]\n",
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" ))\n",
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" else:\n",
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" messages.append(get_weather.invoke(tool_call))\n",
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" elif tool_call[\"name\"] == \"get_news\":\n",
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" pass\n",
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" else:\n",
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" messages.append(ToolMessage(\n",
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" content=\"工具名称错误\",\n",
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" tool_call_id=tool_call[\"id\"]\n",
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" ))\n",
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" return {\n",
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" \"messages\": messages\n",
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" }\n",
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"\n",
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"\n",
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"def output_node(state: OverallState) -> OverallState:\n",
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" return {\n",
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" \"final_output\": state[\"messages\"][-1].content\n",
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" }"
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],
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"id": "8704e6159960c974",
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"outputs": [],
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"execution_count": 69
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2026-08-01T06:25:04.259422Z",
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"start_time": "2026-08-01T06:25:04.251235Z"
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}
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},
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"cell_type": "code",
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"source": [
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"from typing import Literal\n",
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"\n",
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"\n",
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"def router(state: OverallState) -> Literal[\"tool_node\", \"output_node\"]:\n",
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" messages = state[\"messages\"]\n",
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" last_msg = messages[-1]\n",
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" if last_msg.tool_calls:\n",
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" return \"tool_node\"\n",
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" else:\n",
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" return \"output_node\""
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],
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"id": "1abb612dd382567b",
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"outputs": [],
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"execution_count": 70
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2026-08-01T06:25:04.273994Z",
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"start_time": "2026-08-01T06:25:04.260661Z"
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}
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},
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"cell_type": "code",
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"source": [
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"from langgraph.graph import StateGraph, START, END\n",
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"\n",
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"builder = StateGraph(state_schema=OverallState)\n",
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"builder.add_node(\"input_node\", input_node)\n",
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"builder.add_node(\"llm_node\", llm_node)\n",
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"builder.add_node(\"tool_node\", tool_node)\n",
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"builder.add_node(\"output_node\", output_node)\n",
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"\n",
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"builder.add_edge(START, \"input_node\")\n",
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"builder.add_edge(\"input_node\", \"llm_node\")\n",
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"builder.add_conditional_edges(\"llm_node\", router)\n",
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"builder.add_edge(\"tool_node\", \"llm_node\")\n",
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"builder.add_edge(\"output_node\", END)"
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],
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"id": "19a3dccbc99528be",
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"outputs": [
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{
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"data": {
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"text/plain": [
|
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"<langgraph.graph.state.StateGraph at 0x111251350>"
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]
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},
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"execution_count": 71,
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"metadata": {},
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"output_type": "execute_result"
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}
|
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],
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"execution_count": 71
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2026-08-01T06:25:04.710996Z",
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"start_time": "2026-08-01T06:25:04.278884Z"
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}
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},
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"cell_type": "code",
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"source": [
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"graph=builder.compile()\n",
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"\n",
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"from IPython.display import display\n",
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"display(graph)"
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],
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"id": "d21399d1e5e0d13e",
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<langgraph.graph.state.CompiledStateGraph object at 0x1100adf90>"
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],
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"image/png": 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"
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"execution_count": 72
|
|
},
|
|
{
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2026-08-01T06:25:10.410791Z",
|
|
"start_time": "2026-08-01T06:25:04.712121Z"
|
|
}
|
|
},
|
|
"cell_type": "code",
|
|
"source": [
|
|
"res=graph.invoke({\"user_input\": \"今天北京天气怎么样？\"})\n",
|
|
"rp(res)"
|
|
],
|
|
"id": "a59abf813489ce59",
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\u001B[1m{\u001B[0m\n",
|
|
" \u001B[32m'messages'\u001B[0m: \u001B[1m[\u001B[0m\n",
|
|
" \u001B[1;35mHumanMessage\u001B[0m\u001B[1m(\u001B[0m\n",
|
|
" \u001B[33mcontent\u001B[0m=\u001B[32m'今天北京天气怎么样？'\u001B[0m,\n",
|
|
" \u001B[33madditional_kwargs\u001B[0m=\u001B[1m{\u001B[0m\u001B[1m}\u001B[0m,\n",
|
|
" \u001B[33mresponse_metadata\u001B[0m=\u001B[1m{\u001B[0m\u001B[1m}\u001B[0m,\n",
|
|
" \u001B[33mid\u001B[0m=\u001B[32m'1faaf739-e9b1-466c-afe5-66a2adb4a56a'\u001B[0m\n",
|
|
" \u001B[1m)\u001B[0m,\n",
|
|
" \u001B[1;35mAIMessage\u001B[0m\u001B[1m(\u001B[0m\n",
|
|
" \u001B[33mcontent\u001B[0m=\u001B[32m''\u001B[0m,\n",
|
|
" \u001B[33madditional_kwargs\u001B[0m=\u001B[1m{\u001B[0m\u001B[32m'refusal'\u001B[0m: \u001B[3;35mNone\u001B[0m\u001B[1m}\u001B[0m,\n",
|
|
" \u001B[33mresponse_metadata\u001B[0m=\u001B[1m{\u001B[0m\n",
|
|
" \u001B[32m'token_usage'\u001B[0m: \u001B[1m{\u001B[0m\n",
|
|
" \u001B[32m'completion_tokens'\u001B[0m: \u001B[1;36m445\u001B[0m,\n",
|
|
" \u001B[32m'prompt_tokens'\u001B[0m: \u001B[1;36m277\u001B[0m,\n",
|
|
" \u001B[32m'total_tokens'\u001B[0m: \u001B[1;36m722\u001B[0m,\n",
|
|
" \u001B[32m'completion_tokens_details'\u001B[0m: \u001B[1m{\u001B[0m\n",
|
|
" \u001B[32m'accepted_prediction_tokens'\u001B[0m: \u001B[3;35mNone\u001B[0m,\n",
|
|
" \u001B[32m'audio_tokens'\u001B[0m: \u001B[3;35mNone\u001B[0m,\n",
|
|
" \u001B[32m'reasoning_tokens'\u001B[0m: \u001B[1;36m415\u001B[0m,\n",
|
|
" \u001B[32m'rejected_prediction_tokens'\u001B[0m: \u001B[3;35mNone\u001B[0m,\n",
|
|
" \u001B[32m'text_tokens'\u001B[0m: \u001B[1;36m445\u001B[0m\n",
|
|
" \u001B[1m}\u001B[0m,\n",
|
|
" \u001B[32m'prompt_tokens_details'\u001B[0m: \u001B[3;35mNone\u001B[0m\n",
|
|
" \u001B[1m}\u001B[0m,\n",
|
|
" \u001B[32m'model_provider'\u001B[0m: \u001B[32m'openai'\u001B[0m,\n",
|
|
" \u001B[32m'model_name'\u001B[0m: \u001B[32m'qwen3.6-flash'\u001B[0m,\n",
|
|
" \u001B[32m'system_fingerprint'\u001B[0m: \u001B[3;35mNone\u001B[0m,\n",
|
|
" \u001B[32m'id'\u001B[0m: \u001B[32m'chatcmpl-e4455be0-ae94-94c1-822e-aba8ab733caa'\u001B[0m,\n",
|
|
" \u001B[32m'finish_reason'\u001B[0m: \u001B[32m'tool_calls'\u001B[0m,\n",
|
|
" \u001B[32m'logprobs'\u001B[0m: \u001B[3;35mNone\u001B[0m\n",
|
|
" \u001B[1m}\u001B[0m,\n",
|
|
" \u001B[33mid\u001B[0m=\u001B[32m'lc_run--019fbbff-64ca-7472-945f-04d88c4591e7-0'\u001B[0m,\n",
|
|
" \u001B[33mtool_calls\u001B[0m=\u001B[1m[\u001B[0m\n",
|
|
" \u001B[1m{\u001B[0m\n",
|
|
" \u001B[32m'name'\u001B[0m: \u001B[32m'get_weather'\u001B[0m,\n",
|
|
" \u001B[32m'args'\u001B[0m: \u001B[1m{\u001B[0m\u001B[32m'city'\u001B[0m: \u001B[32m'北京'\u001B[0m\u001B[1m}\u001B[0m,\n",
|
|
" \u001B[32m'id'\u001B[0m: \u001B[32m'call_e6943007c96f4f68b1cf347a'\u001B[0m,\n",
|
|
" \u001B[32m'type'\u001B[0m: \u001B[32m'tool_call'\u001B[0m\n",
|
|
" \u001B[1m}\u001B[0m\n",
|
|
" \u001B[1m]\u001B[0m,\n",
|
|
" \u001B[33minvalid_tool_calls\u001B[0m=\u001B[1m[\u001B[0m\u001B[1m]\u001B[0m,\n",
|
|
" \u001B[33musage_metadata\u001B[0m=\u001B[1m{\u001B[0m\n",
|
|
" \u001B[32m'input_tokens'\u001B[0m: \u001B[1;36m277\u001B[0m,\n",
|
|
" \u001B[32m'output_tokens'\u001B[0m: \u001B[1;36m445\u001B[0m,\n",
|
|
" \u001B[32m'total_tokens'\u001B[0m: \u001B[1;36m722\u001B[0m,\n",
|
|
" \u001B[32m'input_token_details'\u001B[0m: \u001B[1m{\u001B[0m\u001B[1m}\u001B[0m,\n",
|
|
" \u001B[32m'output_token_details'\u001B[0m: \u001B[1m{\u001B[0m\u001B[32m'reasoning'\u001B[0m: \u001B[1;36m415\u001B[0m\u001B[1m}\u001B[0m\n",
|
|
" \u001B[1m}\u001B[0m\n",
|
|
" \u001B[1m)\u001B[0m,\n",
|
|
" \u001B[1;35mToolMessage\u001B[0m\u001B[1m(\u001B[0m\n",
|
|
" \u001B[33mcontent\u001B[0m=\u001B[32m'网络波动请重试'\u001B[0m,\n",
|
|
" \u001B[33mid\u001B[0m=\u001B[32m'f910e3c6-10ab-451c-b245-bcee5df7cc5e'\u001B[0m,\n",
|
|
" \u001B[33mtool_call_id\u001B[0m=\u001B[32m'call_e6943007c96f4f68b1cf347a'\u001B[0m\n",
|
|
" \u001B[1m)\u001B[0m,\n",
|
|
" \u001B[1;35mAIMessage\u001B[0m\u001B[1m(\u001B[0m\n",
|
|
" \u001B[33mcontent\u001B[0m=\u001B[32m''\u001B[0m,\n",
|
|
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|
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|
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|
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" <span style=\"color: #008000; text-decoration-color: #008000\">'args'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'city'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'北京'</span><span style=\"font-weight: bold\">}</span>,\n",
|
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|
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" <span style=\"color: #008000; text-decoration-color: #008000\">'type'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'tool_call'</span>\n",
|
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" <span style=\"font-weight: bold\">}</span>\n",
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|
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" <span style=\"color: #008000; text-decoration-color: #008000\">'output_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">445</span>,\n",
|
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" <span style=\"color: #008000; text-decoration-color: #008000\">'total_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">722</span>,\n",
|
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" <span style=\"color: #008000; text-decoration-color: #008000\">'input_token_details'</span>: <span style=\"font-weight: bold\">{}</span>,\n",
|
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" <span style=\"color: #008000; text-decoration-color: #008000\">'output_token_details'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'reasoning'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">415</span><span style=\"font-weight: bold\">}</span>\n",
|
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" <span style=\"font-weight: bold\">}</span>\n",
|
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" <span style=\"font-weight: bold\">)</span>,\n",
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" <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">ToolMessage</span><span style=\"font-weight: bold\">(</span>\n",
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" <span style=\"color: #808000; text-decoration-color: #808000\">content</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'网络波动请重试'</span>,\n",
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" <span style=\"color: #808000; text-decoration-color: #808000\">id</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'f910e3c6-10ab-451c-b245-bcee5df7cc5e'</span>,\n",
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" <span style=\"color: #808000; text-decoration-color: #808000\">tool_call_id</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'call_e6943007c96f4f68b1cf347a'</span>\n",
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" <span style=\"font-weight: bold\">)</span>,\n",
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" <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">AIMessage</span><span style=\"font-weight: bold\">(</span>\n",
|
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" <span style=\"color: #808000; text-decoration-color: #808000\">content</span>=<span style=\"color: #008000; text-decoration-color: #008000\">''</span>,\n",
|
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" <span style=\"color: #808000; text-decoration-color: #808000\">additional_kwargs</span>=<span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'refusal'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span><span style=\"font-weight: bold\">}</span>,\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">response_metadata</span>=<span style=\"font-weight: bold\">{</span>\n",
|
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" <span style=\"color: #008000; text-decoration-color: #008000\">'token_usage'</span>: <span style=\"font-weight: bold\">{</span>\n",
|
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" <span style=\"color: #008000; text-decoration-color: #008000\">'completion_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">76</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'prompt_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">324</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'total_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">400</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'completion_tokens_details'</span>: <span style=\"font-weight: bold\">{</span>\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'accepted_prediction_tokens'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'audio_tokens'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">46</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'rejected_prediction_tokens'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'text_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">76</span>\n",
|
|
" <span style=\"font-weight: bold\">}</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'prompt_tokens_details'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span>\n",
|
|
" <span style=\"font-weight: bold\">}</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'model_provider'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'openai'</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'model_name'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'qwen3.6-flash'</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'system_fingerprint'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'id'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'chatcmpl-dad4c739-5e80-9372-b198-ecd7b6d74f59'</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'finish_reason'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'tool_calls'</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'logprobs'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span>\n",
|
|
" <span style=\"font-weight: bold\">}</span>,\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">id</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'lc_run--019fbbff-722d-7c62-9855-7ecc715fd002-0'</span>,\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">tool_calls</span>=<span style=\"font-weight: bold\">[</span>\n",
|
|
" <span style=\"font-weight: bold\">{</span>\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'name'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'get_weather'</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'args'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'city'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'北京'</span><span style=\"font-weight: bold\">}</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'id'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'call_46ea25112281427198ef735a'</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'type'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'tool_call'</span>\n",
|
|
" <span style=\"font-weight: bold\">}</span>\n",
|
|
" <span style=\"font-weight: bold\">]</span>,\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">invalid_tool_calls</span>=<span style=\"font-weight: bold\">[]</span>,\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">usage_metadata</span>=<span style=\"font-weight: bold\">{</span>\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'input_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">324</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'output_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">76</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'total_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">400</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'input_token_details'</span>: <span style=\"font-weight: bold\">{}</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'output_token_details'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'reasoning'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">46</span><span style=\"font-weight: bold\">}</span>\n",
|
|
" <span style=\"font-weight: bold\">}</span>\n",
|
|
" <span style=\"font-weight: bold\">)</span>,\n",
|
|
" <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">ToolMessage</span><span style=\"font-weight: bold\">(</span>\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">content</span>=<span style=\"color: #008000; text-decoration-color: #008000\">\"It's sunny in 北京\"</span>,\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">name</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'get_weather'</span>,\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">id</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'c0370ecc-dd74-4f49-9c10-edf9db1952c8'</span>,\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">tool_call_id</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'call_46ea25112281427198ef735a'</span>\n",
|
|
" <span style=\"font-weight: bold\">)</span>,\n",
|
|
" <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">AIMessage</span><span style=\"font-weight: bold\">(</span>\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">content</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'北京今天晴天。'</span>,\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">additional_kwargs</span>=<span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'refusal'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span><span style=\"font-weight: bold\">}</span>,\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">response_metadata</span>=<span style=\"font-weight: bold\">{</span>\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'token_usage'</span>: <span style=\"font-weight: bold\">{</span>\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'completion_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">120</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'prompt_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">373</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'total_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">493</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'completion_tokens_details'</span>: <span style=\"font-weight: bold\">{</span>\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'accepted_prediction_tokens'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'audio_tokens'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'reasoning_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">111</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'rejected_prediction_tokens'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'text_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">120</span>\n",
|
|
" <span style=\"font-weight: bold\">}</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'prompt_tokens_details'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span>\n",
|
|
" <span style=\"font-weight: bold\">}</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'model_provider'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'openai'</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'model_name'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'qwen3.6-flash'</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'system_fingerprint'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'id'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'chatcmpl-f17bc70e-1954-9db1-a384-1ce904a1c118'</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'finish_reason'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'stop'</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'logprobs'</span>: <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span>\n",
|
|
" <span style=\"font-weight: bold\">}</span>,\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">id</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'lc_run--019fbbff-7554-7ed0-b994-e91d6be44b61-0'</span>,\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">tool_calls</span>=<span style=\"font-weight: bold\">[]</span>,\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">invalid_tool_calls</span>=<span style=\"font-weight: bold\">[]</span>,\n",
|
|
" <span style=\"color: #808000; text-decoration-color: #808000\">usage_metadata</span>=<span style=\"font-weight: bold\">{</span>\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'input_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">373</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'output_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">120</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'total_tokens'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">493</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'input_token_details'</span>: <span style=\"font-weight: bold\">{}</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'output_token_details'</span>: <span style=\"font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'reasoning'</span>: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">111</span><span style=\"font-weight: bold\">}</span>\n",
|
|
" <span style=\"font-weight: bold\">}</span>\n",
|
|
" <span style=\"font-weight: bold\">)</span>\n",
|
|
" <span style=\"font-weight: bold\">]</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'user_input'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'今天北京天气怎么样？'</span>,\n",
|
|
" <span style=\"color: #008000; text-decoration-color: #008000\">'final_output'</span>: <span style=\"color: #008000; text-decoration-color: #008000\">'北京今天晴天。'</span>\n",
|
|
"<span style=\"font-weight: bold\">}</span>\n",
|
|
"</pre>\n"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"execution_count": 73
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 2
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython2",
|
|
"version": "2.7.6"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|